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1
Which of the following statements is true about a random variable?
A)A random variable represents all outcomes of an experiment and their probabilities.
B)A random variable represents any single random outcome from an experiment.
C)A random variable is the probability of an experimental outcome.
D)A random variable's value is unknown.
2
Which of the following statements is true about a probability distribution?
A)A probability distribution summarizes all possible experimental outcomes and their probability.
B)A probability distribution equals one.
C)A continuous probability distribution is used to summarize a discrete random variable.
D)A probability distribution shows the frequency of a random variable.
3
Which of the following is not a requirement of a binomial distribution?
A)In every trial, the probability of success is the same.
B)The random variable has only two possible outcomes.
C)A fixed number of trails.
D)Any outcome is dependent on previous outcomes.
4
The mean and the variance are equal in
A)All probability distributions.
B)The binomial distribution.
C)The Poisson distribution.
D)The hypergeometric distribution.
5
Which of the following distributions is applied when the probability of a success is very small?
A)Binomial
B)Poisson
C)Hypergeometric
D)All distributions
6
The definition of a probability distribution requires:
A)All outcomes have the same probability of success.
B)The sum of probabilities for all possible outcomes is 1.00.
C)A clearly defined random variable.
D)B and C
7
For a binomial distribution,
A)The number of trials must be between 1 and 20.
B)The random variable must be a multiple of 10.
C)There must be at least 3 possible outcomes.
D)None of the above.
8
Which of the following is a major difference between the binomial and the hypergeometric distributions?
A)The sum of the outcomes can be greater than 1 for the hypergeometric.
B)The probability of a success changes from trial to trial in the hypergeometric distribution.
C)The number of trials changes in the hypergeometric distribution.
D)The outcomes cannot be whole numbers in the hypergeometric distribution.
9
In a continuous probability distribution, the
A)random variable is limited to certain values.
B)random variable may be any value within a certain range.
C)sum of the outcome's probability can be greater than 1.00
D)random variables are discrete.
10
For a binomial distribution with n = 15, as π changes from 0.05 toward 0.50, the distribution will become
A)more positively skewed.
B)more negatively skewed
C)symmetrical.
D)Rectangular.
11
The expected value of a probability distribution
A)Is the same as the random variable.
B)Is another term for the mean.
C)Is also called the variance.
D)Cannot be greater than 1.





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